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  The Mathematical Theory of Finite Element Methods
 

The Mathematical Theory Of Finite Element Methods

by Brenner

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  rigorous and thorough mathematical introduction to the foundations of the subject
A clear and concise treatment of modern fast solution techniques
Third edition substantially updated with new material on Additive Schwarz Preconditioners and Adaptive Meshes
Adaptable text that can be used in the context of differing course paths


This book develops the basic mathematical theory of the finite element method, the most widely used technique for engineering design and analysis.

The third edition contains four new sections: the BDDC domain decomposition preconditioner, convergence analysis of an adaptive algorithm, interior penalty methods and Poincara\`e-Friedrichs inequalities for piecewise W^1_p functions. New exercises have also been added throughout.

The initial chapter provides an introducton to the entire subject, developed in the one-dimensional case. Four subsequent chapters develop the basic theory in the multidimensional case, and a fifth chapter presents basic applications of this theory.

Subsequent chapters provide an introduction to:

multigrid methods and domain decomposition methods
mixed methods with applications to elasticity and fluid mechanics
iterated penalty and augmented Lagrangian methods
variational "crimes" including nonconforming and isoparametric methods, numerical integration and interior penalty methods
error estimates in the maximum norm with applications to nonlinear problems
error estimators, adaptive meshes and convergence analysis of an adaptive algorithm
Banach-space operator-interpolation techniques


The book has proved useful to mathematicians as well as engineers and physical scientists. It can be used for a course that provides an introduction to basic functional analysis, approximation theory and numerical analysis, while building upon and applying basic techniques of real variable theory. It can also be used for courses that emphasize physical applications or algorithmic efficiency.
ISBN:9788132204756
 


Pages : 420
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